| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 53 | | tagDensity | 0.245 | | leniency | 0.491 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2165 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "very" | | 2 | "slightly" | | 3 | "quickly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 72.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2165 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "navigating" | | 4 | "structure" | | 5 | "etched" | | 6 | "navigate" | | 7 | "electric" | | 8 | "silence" | | 9 | "trembled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 152 | | matches | (empty) | |
| 95.86% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 152 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 192 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2182 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1473 | | uniqueNames | 20 | | maxNameDensity | 1.49 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 22 | | Northern | 1 | | Line | 1 | | Transport | 1 | | London | 1 | | Rioja | 1 | | Morris | 2 | | Fogarty | 4 | | TfL | 1 | | Kowalski | 1 | | Eva | 17 | | Moleskine | 1 | | Flatter | 1 | | Chose | 1 | | Southwark | 1 | | Metropolitan | 1 | | Police | 1 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Fogarty" | | 4 | "Kowalski" | | 5 | "Eva" | | 6 | "Compass" |
| | places | (empty) | | globalScore | 0.753 | | windowScore | 0.5 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 2 | | matches | | 0 | "darkness that seemed to push back" | | 1 | "darkness that seemed to breathe, contracting and expanding like a living membrane, before the remaining grout sealed over it again" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.458 | | wordCount | 2182 | | matches | | 0 | "not from any mainstream occult tradition I can identify quickly, but the structure is apotropaic" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 192 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 30.31 | | std | 27.59 | | cv | 0.91 | | sampleLengths | | 0 | 99 | | 1 | 47 | | 2 | 11 | | 3 | 35 | | 4 | 6 | | 5 | 30 | | 6 | 80 | | 7 | 87 | | 8 | 95 | | 9 | 48 | | 10 | 20 | | 11 | 22 | | 12 | 23 | | 13 | 1 | | 14 | 12 | | 15 | 11 | | 16 | 7 | | 17 | 76 | | 18 | 9 | | 19 | 13 | | 20 | 67 | | 21 | 4 | | 22 | 42 | | 23 | 6 | | 24 | 10 | | 25 | 18 | | 26 | 38 | | 27 | 29 | | 28 | 3 | | 29 | 10 | | 30 | 39 | | 31 | 45 | | 32 | 59 | | 33 | 2 | | 34 | 20 | | 35 | 3 | | 36 | 28 | | 37 | 5 | | 38 | 12 | | 39 | 6 | | 40 | 14 | | 41 | 73 | | 42 | 74 | | 43 | 1 | | 44 | 13 | | 45 | 73 | | 46 | 10 | | 47 | 17 | | 48 | 69 | | 49 | 28 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 152 | | matches | | 0 | "were cracked" | | 1 | "been organized" | | 2 | "been pulled" | | 3 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 246 | | matches | | 0 | "was photographing" | | 1 | "was letting" | | 2 | "was being" |
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| 8.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 192 | | ratio | 0.047 | | matches | | 0 | "Detective Harlow Quinn ducked under the police tape strung between two rusted stanchions and let her eyes adjust to the contrast — bright pools surrounded by a darkness that seemed to push back." | | 1 | "He wore a charcoal wool coat — expensive cut, recent manufacture." | | 2 | "Her watch — the worn leather band soft as a second skin against her pulse — read 11:47 PM." | | 3 | "The mummified patches ran along the man's right side — the arm, the ribs visible through the shrunken coat fabric, the right half of the face drawn tight over the skull." | | 4 | "Her lips moved slightly — counting, Quinn realized." | | 5 | "The face was etched with markings similar to the ones on the dead man's wrist — the same geometric vocabulary, though arranged differently." | | 6 | "Eva looked at the platform — the grid of clean spots, the lamp hooks, the boot-worn paths in the grime." | | 7 | "But when she crossed to it and ran her gloved fingers across the surface, the grout between two tiles came away as powder, and behind it — just for an instant, before it crumbled further — she saw something that wasn't brick." | | 8 | "She thought of Morris in that Southwark basement — the inexplicable death, the markings nobody would discuss, the file that gathered dust because the answers it demanded were answers the Metropolitan Police didn't have vocabulary for." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1276 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.018808777429467086 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0054858934169279 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 192 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 192 | | mean | 11.36 | | std | 10.48 | | cv | 0.923 | | sampleLengths | | 0 | 19 | | 1 | 33 | | 2 | 21 | | 3 | 3 | | 4 | 23 | | 5 | 10 | | 6 | 22 | | 7 | 4 | | 8 | 11 | | 9 | 11 | | 10 | 17 | | 11 | 18 | | 12 | 6 | | 13 | 30 | | 14 | 2 | | 15 | 9 | | 16 | 11 | | 17 | 9 | | 18 | 13 | | 19 | 27 | | 20 | 1 | | 21 | 1 | | 22 | 7 | | 23 | 20 | | 24 | 6 | | 25 | 10 | | 26 | 9 | | 27 | 3 | | 28 | 8 | | 29 | 9 | | 30 | 1 | | 31 | 21 | | 32 | 19 | | 33 | 28 | | 34 | 9 | | 35 | 15 | | 36 | 10 | | 37 | 2 | | 38 | 3 | | 39 | 9 | | 40 | 6 | | 41 | 21 | | 42 | 6 | | 43 | 2 | | 44 | 13 | | 45 | 20 | | 46 | 22 | | 47 | 16 | | 48 | 7 | | 49 | 1 |
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| 76.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4791666666666667 | | totalSentences | 192 | | uniqueOpeners | 92 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 126 | | matches | | 0 | "Then something caught the light." | | 1 | "Twice in five minutes." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 126 | | matches | | 0 | "She pulled on nitrile gloves" | | 1 | "She looked down at the" | | 2 | "He pointed to a section" | | 3 | "He wore a charcoal wool" | | 4 | "His shoes were leather brogues," | | 5 | "His hands were open at" | | 6 | "She pulled out her phone" | | 7 | "She'd seen crime scenes in" | | 8 | "Her watch — the worn" | | 9 | "She'd been pulled from her" | | 10 | "Her grip was firm, her" | | 11 | "She filed that away." | | 12 | "They descended a service ladder" | | 13 | "His left side retained moisture," | | 14 | "She flipped pages." | | 15 | "She studied the scarification without" | | 16 | "Her lips moved slightly —" | | 17 | "Her hand had gone to" | | 18 | "She crouched and picked it" | | 19 | "It swiveled in a slow," |
| | ratio | 0.262 | |
| 83.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 126 | | matches | | 0 | "The fluorescent work lamps threw" | | 1 | "Detective Harlow Quinn ducked under" | | 2 | "The platform tiles, once cream" | | 3 | "She pulled on nitrile gloves" | | 4 | "She looked down at the" | | 5 | "He pointed to a section" | | 6 | "The dead man lay face" | | 7 | "He wore a charcoal wool" | | 8 | "His shoes were leather brogues," | | 9 | "His hands were open at" | | 10 | "The shapes were too precise," | | 11 | "She pulled out her phone" | | 12 | "The cleaned patches on the" | | 13 | "She'd seen crime scenes in" | | 14 | "Places where the homeless or" | | 15 | "This wasn't that." | | 16 | "Whatever had scraped these tiles" | | 17 | "The marks followed a rough" | | 18 | "Her watch — the worn" | | 19 | "She'd been pulled from her" |
| | ratio | 0.754 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 28.06% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 9 | | matches | | 0 | "The fluorescent work lamps threw harsh white circles against tunnel walls that hadn't seen a scheduled train since 1924." | | 1 | "Detective Harlow Quinn ducked under the police tape strung between two rusted stanchions and let her eyes adjust to the contrast — bright pools surrounded by a …" | | 2 | "Whole sections of the floor looked scrubbed clean in irregular shapes, as though someone had dragged heavy things across them recently and often." | | 3 | "His hands were open at his sides, palms up, and on his left wrist she could see the faint, geometric marks of something that wasn't a tattoo." | | 4 | "Details that made her superiors uncomfortable when she mentioned them." | | 5 | "DI Fogarty, who'd been speaking with the TfL engineer near the far wall, intercepted the woman and gestured toward Quinn." | | 6 | "She looked at Eva, who stood at the platform edge gazing down at the body with an expression that wasn't academic detachment." | | 7 | "A darkness that seemed to breathe, contracting and expanding like a living membrane, before the remaining grout sealed over it again." | | 8 | "She thought of Morris in that Southwark basement — the inexplicable death, the markings nobody would discuss, the file that gathered dust because the answers it…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 53 | | tagDensity | 0.057 | | leniency | 0.113 | | rawRatio | 0.333 | | effectiveRatio | 0.038 | |